Xiaohong Tong

5.1k total citations · 5 hit papers
105 papers, 3.8k citations indexed

About

Xiaohong Tong is a scholar working on Food Science, Molecular Biology and Plant Science. According to data from OpenAlex, Xiaohong Tong has authored 105 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Food Science, 35 papers in Molecular Biology and 35 papers in Plant Science. Recurrent topics in Xiaohong Tong's work include Proteins in Food Systems (43 papers), Food composition and properties (21 papers) and Plant Molecular Biology Research (16 papers). Xiaohong Tong is often cited by papers focused on Proteins in Food Systems (43 papers), Food composition and properties (21 papers) and Plant Molecular Biology Research (16 papers). Xiaohong Tong collaborates with scholars based in China, United States and Nigeria. Xiaohong Tong's co-authors include Huan Wang, Tian Tian, Jian Zhang, Shicheng Dai, Ziteng Lian, Yifeng Wang, Bo Lyu, Yuxuan Hou, Lianzhou Jiang and Liqun Tang and has published in prestigious journals such as PLoS ONE, PLANT PHYSIOLOGY and Journal of Agricultural and Food Chemistry.

In The Last Decade

Xiaohong Tong

102 papers receiving 3.7k citations

Hit Papers

Non-covalent interaction of soy protein isolate and catec... 2021 2026 2022 2024 2022 2021 2022 2023 2024 50 100 150 200

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Xiaohong Tong China 35 1.7k 1.4k 1.4k 707 285 105 3.8k
Andrea Gianotti Italy 32 1.7k 1.0× 794 0.6× 1.0k 0.7× 871 1.2× 273 1.0× 85 3.2k
Alfonso Clemente Spain 37 1.5k 0.9× 1.3k 0.9× 1.9k 1.4× 856 1.2× 382 1.3× 92 4.0k
Samson Agboola Australia 31 1.8k 1.0× 943 0.7× 1.0k 0.8× 509 0.7× 309 1.1× 61 2.9k
Priti Mudgil United Arab Emirates 33 1.9k 1.1× 422 0.3× 1.8k 1.3× 546 0.8× 287 1.0× 87 3.4k
Hanju Sun China 31 1.3k 0.7× 866 0.6× 836 0.6× 637 0.9× 334 1.2× 96 2.8k
Flávia Maria Netto Brazil 36 2.3k 1.3× 428 0.3× 1.1k 0.8× 567 0.8× 432 1.5× 77 3.5k
Zhanmei Jiang China 40 3.1k 1.8× 480 0.3× 1.5k 1.1× 964 1.4× 584 2.0× 167 4.6k
Byong H. Lee Canada 35 1.6k 0.9× 378 0.3× 2.3k 1.7× 653 0.9× 382 1.3× 87 3.6k
Xiangzhen Kong China 36 2.6k 1.5× 587 0.4× 1.1k 0.8× 874 1.2× 624 2.2× 119 3.8k
Gloria Dávila-Ortíz Mexico 28 1.3k 0.7× 884 0.6× 1.3k 1.0× 560 0.8× 332 1.2× 98 3.0k

Countries citing papers authored by Xiaohong Tong

Since Specialization
Citations

This map shows the geographic impact of Xiaohong Tong's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Xiaohong Tong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaohong Tong more than expected).

Fields of papers citing papers by Xiaohong Tong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiaohong Tong. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Xiaohong Tong. The network helps show where Xiaohong Tong may publish in the future.

Co-authorship network of co-authors of Xiaohong Tong

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaohong Tong. A scholar is included among the top collaborators of Xiaohong Tong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xiaohong Tong. Xiaohong Tong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Tian, Tian, Liang Chen, Xinru Cao, et al.. (2025). Effect of different protein ratios on in vitro digestive properties of soybean-wheat co-precipitated protein high-moisture extrudates. Food Chemistry. 478. 143354–143354. 9 indexed citations
3.
Lian, Ziteng, Sai Yang, Qianqian Zhang, et al.. (2025). Exploring the potential of enzymatic hydrolysis combined with glycosylation to modify soy glycinin: Insights into conformational flexibility, interfacial and emulsifying behavior. Food Chemistry. 493(Pt 4). 146034–146034. 1 indexed citations
4.
Zhang, Xueqing, Ri‐Qi Su, Yigang Hu, et al.. (2025). Soybean protein fibrils-bacterial cellulose complexes with morphological characteristics induced by different pH values: Focus on interactions and emulsifying properties. Food Hydrocolloids. 170. 111660–111660. 3 indexed citations
5.
Zhu, Jianyu, Huan Wang, Shi Liu, et al.. (2024). Complexes of soybean protein fibrils and chlorogenic acid: Interaction mechanism and antibacterial activity. Food Chemistry. 452. 139551–139551. 18 indexed citations
6.
Miao, Liming, Kunyu Ren, Jianling Feng, et al.. (2024). Effects of fibrillation combined with glycation by different chain length sugars on structural and functional properties of soybean protein. Food Hydrocolloids. 153. 110026–110026. 12 indexed citations
7.
Feng, Jianling, Shi Liu, Na Sun, et al.. (2024). Combining different ionic polysaccharides and pH treatment improved functional properties of soybean protein amyloid fibrils through structural modifications. Food Hydrocolloids. 153. 110027–110027. 34 indexed citations
8.
Wang, Yilun, Shicheng Dai, Ziteng Lian, et al.. (2024). Polyphenol improve the foaming properties of soybean isolate protein: Structural, physicochemical property changes and application in angel cake. International Journal of Biological Macromolecules. 277(Pt 3). 134315–134315. 16 indexed citations
9.
Yin, Man, Xiaohong Tong, Yichen Cheng, et al.. (2024). Dissecting the Genetic Basis of Yield Traits and Validation of a Novel Quantitative Trait Locus for Grain Width and Weight in Rice. Plants. 13(6). 770–770. 2 indexed citations
10.
Ren, Kunyu, Xinru Cao, Shi Liu, et al.. (2024). Liposomes decorated with β-conglycinin and glycinin: Construction, structure and in vitro digestive stability. International Journal of Biological Macromolecules. 269(Pt 1). 131900–131900. 9 indexed citations
12.
Liu, Shi, Na Sun, Kunyu Ren, et al.. (2023). Utilization of self-assembled soy protein nanoparticles as carriers for natural pigments: Examining non-interaction mechanisms and stability. Food Hydrocolloids. 148. 109491–109491. 19 indexed citations
13.
Miao, Liming, Jianyu Zhu, Xinhui Peng, et al.. (2023). Effects of CaCl2 concentration on fibrils formation and characteristics of soybean protein isolate and β-conglycinin/glycinin. Food Hydrocolloids. 142. 108769–108769. 39 indexed citations
14.
Tian, Tian, Kunyu Ren, Xinru Cao, et al.. (2023). High moisture extrusion of soybean-wheat co-precipitation protein: Mechanism of fibrosis based on different extrusion energy regulation. Food Hydrocolloids. 144. 108950–108950. 39 indexed citations
15.
Xu, Yuwen, Muhammad Asad, Sui Wang, et al.. (2023). Physiological responses and transcriptome analysis of soybean under gradual water deficit. Frontiers in Plant Science. 14. 1269884–1269884. 10 indexed citations
16.
Shu, Yazhou, Wensheng Zhang, Liqun Tang, et al.. (2023). ABF1 Positively Regulates Rice Chilling Tolerance via Inducing Trehalose Biosynthesis. International Journal of Molecular Sciences. 24(13). 11082–11082. 14 indexed citations
17.
18.
Lian, Ziteng, Sai Yang, Shicheng Dai, et al.. (2022). Relationship between flexibility and interfacial functional properties of soy protein isolate: succinylation modification. Journal of the Science of Food and Agriculture. 102(14). 6454–6463. 38 indexed citations
20.
Zhang, Qiaozhi, Xiaohong Tong, Yang Li, et al.. (2019). Purification and Characterization of Antioxidant Peptides from Alcalase-Hydrolyzed Soybean (Glycine max L.) Hydrolysate and Their Cytoprotective Effects in Human Intestinal Caco-2 Cells. Journal of Agricultural and Food Chemistry. 67(20). 5772–5781. 123 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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